📈 IPGP NO_SETUP (Regime Gated)
🏢 Company Overview
IPG Photonics Corporation | Sector: Technology | Industry: Semiconductors
This report provides a simplified overview of the adaptive price movement analysis for IPGP. Using historical price data up to 2026-02-17, it identifies stock-specific trading zones based on distances from 1-month highs, tailored to IPGP’s unique behavior. The analysis accounts for volatility relative to the S&P 500, recent price patterns, and broader market trends. This is not financial advice—always conduct your own research and consult a professional advisor. Past performance does not guarantee future results.
📊 Key Data Points
- Symbol: IPGP
- Analysis Date: 2026-02-17
- Current Price: $153.91
- 1-Month High: $155.82 (reached on 2026-02-13 00:00:00)
- Distance from High: 1.2%
🛡️ Regime & Gating
- Regime: NEUTRAL_TRANSITION
- Disabled Lanes: SHALLOW_PULLBACK (deduped into PULLBACK (|Δentry|=4.07 <= 4.44)), CURRENT (deduped into BREAKOUT (|Δentry|=3.47 <= 4.44))
- Probability Floor: 35%
- Notes: No gating notes
- Badge: Regime: NEUTRAL_TRANSITION | Disabled: SHALLOW_PULLBACK (deduped into PULLBACK (|Δentry|=4.07 <= 4.44)), CURRENT (deduped into BREAKOUT (|Δentry|=3.47 <= 4.44)) | Prob floor: 35%
📈 Price Trajectory (Multi-Timeframe Analysis)
- Short-term (5 days): Strong rally (+38.2% in 5 days)
- Medium-term (3 months): Strong uptrend (+103.1% in 3 months)
- Long-term (12 months): Bull market (+144.8% in 12 months)
Interpretation: The short-term shows immediate momentum from 2026-02-09 00:00:00 to 2026-02-17, while medium and long-term trends reveal the broader price structure. Current overall direction: RISING at EXTREME pace.
📊 RSI Momentum Indicator (RFC-008 Phase 2)
The Relative Strength Index (RSI) measures momentum on a 0-100 scale using 14-period Wilder’s smoothing. Values above 70 indicate overbought conditions (potential pullback), while values below 30 suggest oversold conditions (potential bounce).
Current RSI Status
🔴 Overbought Condition
| Metric | Value | Interpretation |
|---|---|---|
| RSI (14-day) | 94.2 | Overbought |
| Signal | 🔴 Overbought | RSI at 94.2 indicates overbought conditions – extended rally, potential pullback |
Trading Implication: RSI above 70 suggests IPGP may be overbought and vulnerable to pullback. Strong trends can remain overbought for extended periods. Consider:
– Taking partial profits if holding positions
– Tightening stop losses to protect gains
– Waiting for pullback to support before adding
⚠️ Caution: Overbought in uptrend can signal strength – don’t short blindly.
Methodology: Classic Wilder’s smoothing algorithm – first period uses simple average of 14-day gains/losses, subsequent periods apply exponential smoothing (prior_avg × 13 + current) / 14 for momentum continuity.
⏱️ Microstructure Timing Signals (Last 10 Candles (Feb 02 – Feb 13, 2026))
⚠️ Confluence Score: 2/4 (bullish_trend_with_absorption)
| Signal | Status | Value |
|---|---|---|
| 🔵 Range Compression | Normal | 0.000 |
| 🔵 Volume Activity | Normal | 0.000 |
| 🔵 Wick Patterns | 3 rejections vs 2 absorptions – balanced battle | 3 rejections / 2 absorptions |
| 🔵 Candlestick Patterns | Pattern cluster: indecision patterns (doji/spinning tops) | 3 patterns |
Battle Dynamics: The confluence score of 2/4 indicates a moderate bullish trend with absorption, but not a high-conviction setup. The lack of range compression and normal volume activity suggest that the current price action is not experiencing significant pressure or breakout potential.
Timing: Moderate edge present. Monitor for additional signal convergence before acting (3-7 days).
Pattern Formation Timeline
Candlestick Patterns Detected:
– ⚪ Doji: Feb 04 (indecision)
– 🔵 Spinning Top: Feb 04, Feb 10 (indecision)
Wick Events:
– ⬆️ Upper Rejections: Feb 03, Feb 04, Feb 10 (selling pressure)
– ⬇️ Lower Absorptions: Feb 04, Feb 13 (buying support)
Microstructure analysis examines the last 10 candles (Feb 02 – Feb 13, 2026) for timing signals.
📉 Volatility and Market Context
IPGP’s price movements are classified as “Very High (speculative / event-driven)” with an annualized volatility of 43.9% and a typical daily price swing of 2.77% ($4.26). This means IPGP can move about 2.77% daily, which is high compared to other stocks.
- 🎯 Relative Volatility: IPGP’s current volatility ranks in the 88.0th percentile compared to the historical volatility of the S&P 500 (SPY). This means IPGP’s price swings are larger than those of the broader market on 88.0% of historical trading days, indicating higher risk than the market.
- 🌍 Market Environment: The analysis identifies a neutral market, with the S&P 500 (SPY) trading at $681.75, -0.8% below its 50-day moving average ($687.36). Bear markets increase selling pressure, requiring wider safety margins.
| Metric | Value | Explanation |
|---|---|---|
| 📊 Stock Volatility | 43.9% (annualized) | Yearly price fluctuations; higher means more risk/reward |
| 📅 Daily Volatility (σ) | 2.77% ($4.26) | Typical 1-day move (std deviation) for context |
| 🎯 Volatility vs. SPY | 88.0th percentile | higher risk than the market |
| 📈 Market Trend | neutral (-0.8% vs. SMA50) | Challenging market conditions; zones are wider to account for higher risk. |
| ⚖️ Baseline Setup R/R | 0.34:1 | Risk/Reward for a baseline entry at current price with a wide stop (see RFC-008 section) |
🎯 Lane R/R Analysis (RFC-029)
IPGP offers different risk/reward profiles depending on entry timing. Each lane represents a strategic price level for entry, with its own risk/reward ratio and probability based on historical performance:
| Lane | Entry | Target | R/R | Probability | Expectancy | Best For |
|---|---|---|---|---|---|---|
| 🚀 Breakout | $157.38 | $160.49 | 0.66:1 | 50% | -0.17 | Momentum entry with close-based confirmation |
| 📉 Deep Pullback | $145.22 | $157.38 | 0.64:1 | 40% | -0.34 | Conservative entry at optimal buy zone |
| ⚖️ Current (Baseline) | $153.91 | $160.49 | 0.34:1 | 34% | -0.54 | Baseline only (not an entry lane) |
Ranked by Expectancy:
– 🥇 Breakout 🚀: -0.17 EV
– 🥈 Pullback 📉: -0.34 EV
🎯 FINAL_ACTION: NO_SETUP (Regime Gated)
💡 Best Current Opportunity: ⏸️ No positive-EV lane (-0.17 EV) – Stand aside until a lane’s EV turns positive or probability/targets improve.
🎯 Price-Based Trading Zones
This analysis uses IPGP’s historical price patterns to define trading zones based on percentage distances from its 1-month high ($155.82). These zones are adjusted for IPGP’s high volatility (widened for larger swings), recent price behavior (emphasizing data from the last ~3.4 years), and the neutral market environment (wider near-high zones). The zones are based on 55 historical reversal points (21 resistance, 34 support), with recent patterns weighted more heavily (average weight: 0.11).
| Zone | Distance (%) | Price Level | Trading Insight |
|---|---|---|---|
| 🔴 Resistance | 1.2 | $153.95 | Avoid buying; strong selling pressure likely |
| 🟡 Caution | 3.1 | $150.99 | Reduce positions or hedge; watch for reversals |
| 🟢 Sweet Spot | 6.8 | $145.22 | Optimal buy zone with 15.0% success rate |
| 💎 Value | 10.4 | $139.61 | Attractive buy on pullback; strong bounce zone |
| 🔵 Deep Value | 15.4 | $131.82 | Potential reversal, but risky; confirm with catalysts |
| ⚠️ Extreme Value | 15.5 | $131.67 | Severe oversold; high crash risk—wait for catalyst |
| 🚨 Crash Zone | >30% | Below extreme | Critical danger zone—avoid unless deep value investor |
📈 Historical Performance at This Exact Distance: When IPGP was specifically at 6.8% from its high (the sweet spot zone), it broke out to new all-time highs 15.0% of the time, with 30.0% crashing (−10%+). Historical sweet spot entries averaged 0.5:1 reward-to-risk (based on past breakouts from this zone).
Note: This measures outcomes at this specific distance. For broader success analysis across similar market contexts (not just distance), see Advanced Success Analysis below.
🎯 Advanced Success Analysis (RFC-011 Phase 2)
🔴 CRITICAL DATA QUALITY WARNING
Only 0 historical samples found – This is statistically insufficient for reliable predictions.
Success rates below are directional indicators only and should NOT be used as primary decision factors.Why this matters: With so few samples, a single outlier can dramatically skew results. Industry standard requires minimum 30 samples for statistical significance.
Recommendation: Use fundamental analysis, technical indicators, and market context as primary decision factors. Treat these historical patterns as supplementary information only.
Scope Difference: Unlike the zone-specific breakout rate above (which only looks at exact distance from high), this analysis examines a BROADER set of similar market contexts—matching on trajectory, volume patterns, regime, and zone—not just distance. This explains why success rates may differ.
This analysis uses two methods to measure historical success when IPGP was in similar price contexts:
📊 Binary Success (Traditional Method)
– What it measures: Did the stock reach NEW all-time highs?
– Rate: 40.0%
– Limitation: All-or-nothing – ignores partial progress
📈 Graded Success (Enhanced Method)
– What it measures: Progress toward the next high, with partial credit:
– 🟢 100% = Made new high (full success)
– 🟡 85% = Reached 85% of the way to new high
– 🟡 75% = Reached 75% of the way
– 🟠 50% = Reached halfway point
– 🔴 25% = Made 25% progress
– ❌ 0% = No progress or declined
– Rate: 0%
– Advantage: Shows favorable risk/reward even with conservative targets
| Metric | Value | Notes |
|---|---|---|
| Binary Success | 40.0% | 0 samples – statistically unreliable |
| Graded Success | 0% | 0 samples – statistically unreliable |
| Improvement | +0 points | Graded method captures partial gains |
📊 Confidence Breakdown (0/100 – Unknown):
– Sample Size: 0/40 points – Based on 0 weighted samples
– Quality: 0/40 points – Average similarity and recency (0)
– Consistency: 0/20 points – Low variance = predictable outcomes
🔍 Sample Quality & Reliability:
– Total Samples: 0 similar historical contexts
– Effective Samples: 0 (weighted by recency)
– Recent Data: 0% from last 3 years
– Raw Rate: 0% (before adjustments)
– Cap Applied: No (N/A% max prevents overconfidence)
⚠️ Interpretation: With only 0 samples, these success rates have no statistical validity. The 0% graded success means that in the single instance found, $IPGP made approximately 0% progress toward its target. This tells us virtually nothing about future probability.
💰 Price Targets and Risk Management
These price levels translate the percentage zones into actionable dollar amounts, with stop-loss suggestions based on IPGP’s daily volatility (ATR).
| Target Type | Price Level | Notes |
|---|---|---|
| 🟢 Optimal Buy | $145.22 | Enter in sweet spot for best risk/reward. |
| 🟢 Good Value | $139.61 | Strong buy opportunity on deeper pullback. |
| 🟢 Deep Value | $131.82 | Oversold; wait for reversal signals (e.g., high volume, news). |
| 🔴 Reduce Position | $150.99 | In caution zone—scale back exposure. |
| 🔴 Exit/Hedge | $153.95 | Near resistance—consider selling or hedging. |
| 🚀 Breakout Confirmation | $157.38 | 1% above high—signals new uptrend. |
| 🚀 Strong Breakout | $160.49 | 3% above high—confirms bullish momentum. |
| 📊 Position Sizing | 10-25% (Caution zone) (Current price) | Low confidence due to CAUTION_ZONE. |
Note: Stop-loss levels are shown within each trading scenario below, tailored to the specific entry strategy (value entries use wider ATR-based stops; breakout entries use tighter setup-specific stops below breakout level).
⚖️ Risk/Reward Methodology (RFC-008 Phase 5)
Transparent breakdown of risk/reward calculation using current price, target price projection, and volatility-adjusted stop loss.
Risk/Reward Analysis
🔴 Quality Assessment: Poor (0.34:1)
| Component | Value | Notes |
|---|---|---|
| Entry Price | $153.91 | Current market price for IPGP |
| Target Price | $160.49 | Projected resistance or breakout level |
| Stop Loss | $134.75 | Risk management exit point |
| Potential Reward | $6.58 | Target – Entry |
| Potential Risk | $19.16 | Entry – Stop |
| R/R Ratio | 0.34:1 | Reward divided by Risk |
Calculation Breakdown
Formula: (Target - Entry) / (Entry - Stop)
Step-by-step:
1. Reward = $160.49 (target) – $153.91 (entry) = $6.58
2. Risk = $153.91 (entry) – $134.75 (stop) = $19.16
3. Ratio = $6.58 / $19.16 = 0.34:1
Stop Loss Determination: Current – (2 × ATR) = $153.91 – $19.16
14-Day ATR: $8.88 (~5.8% of entry price) – stop is 2.2x ATR for volatility adjustment
💡 Interpretation
A ratio below 1.0:1 is poor – you’re risking more than potential reward. Avoid this trade setup unless conviction is extremely high.
Position Sizing Guidance: With a 0.34:1 R/R ratio, if you risk 1% of portfolio capital, you target 0.34% potential gain. Adjust position size so that hitting the stop loss = acceptable portfolio loss (typically 0.5-2% per trade).
Important: This R/R calculation assumes execution at entry price and hitting either target or stop. Actual results may vary with slippage, partial exits, or trailing stops.
🎯 Dual-Lane Analysis (RFC-028)
The analysis identifies three distinct trading lanes with different entry strategies:
🛡️ Regime Gating:
– Regime: NEUTRAL_TRANSITION
– Probability floor: 35%
– Disabled lanes: SHALLOW_PULLBACK (deduped into PULLBACK (|Δentry|=4.07 <= 4.44)), CURRENT (deduped into BREAKOUT (|Δentry|=3.47 <= 4.44))
📊 Lanes Ranked by Expectancy (EV per 1R):
🥇 Breakout Lane 🚀: -0.17 EV
🥈 Pullback Lane 📉: -0.34 EV
Detailed Comparison Table (ACTIVE lanes only; disabled lanes omitted):
Definitions:
– p = modeled probability of hitting the lane target before the lane stop (proxy from historical analog contexts)
– R = lane reward-to-risk multiple for that entry/stop/target
– EV = p × R − (1 − p) (per 1R)
R/R Labels:
– Baseline Setup R/R uses current price + broader ATR-based stop (context)
– Lane R/R uses each lane’s own entry/stop/target (action model)
| Lane | Entry | Target | Stop | Reward | Risk | R/R Ratio | Probability | Expectancy |
|---|---|---|---|---|---|---|---|---|
| 🚀 Breakout | $157.38 | $160.49 | $152.66 | $3.11 | $4.72 | 0.66:1 | 50% | -0.17 |
| 📉 Deep Pullback | $145.22 | $157.38 | $126.24 | $12.16 | $18.98 | 0.64:1 | 40% | -0.34 |
💡 Recommendation:
🚀 Wait for breakout above $157.38 – Breakout Lane has EV -0.17R.
📐 Expectancy Calculation (EV per 1R): EV = p × R − (1 − p)
– Higher EV = better average edge per unit risk (1R)
– Breakeven win rate: p = 1 / (1 + R)
– Pullback Lane: Wider stops, better entry, potentially higher R
– Breakout Lane: Tighter stops, confirmation required, potentially higher p
– Current Lane: Immediate entry, typically lower edge vs planned entries
📌 Breakout Multi-Target Variant (simple model)
– T1 R: 0.66R, T2 R: 2.36R (T2 = T1×1.05)
– 50/50 scale-out effective R: 1.51R
– EV (using same p): 0.25R | Breakeven p: 40%
(This is an illustrative payoff curve; actual multi-target probabilities may differ.)
Note: The summary table at the top of the report shows simplified lane comparison; this section provides full details including stop-loss levels.
🎯 Current Analysis
Current Position: IPGP is in the CAUTION_ZONE at $153.91, 1.2% below its high
🎯 FINAL_ACTION: NO_SETUP (Regime Gated)
📋 Recommendations (Two Lanes)
Holder: HOLD_PROTECT (HIGH) — RSI is elevated near resistance; protect gains (trim/hedge) while maintaining core exposure.
New Entry: NO_TRADE (LOW) — No positive-EV lane today (best EV -0.17R).
🔍 Confidence: LOW
📈 Historical Success: 0.4
⚖️ Risk/Reward: 0.34
📋 Trading Scenarios
Based on current price position and technical setup, here are actionable trade scenarios with defined entries, targets, and stops:
🎯 FINAL_ACTION: NO_SETUP (Regime Gated)
🎯 FINAL_ACTION
Primary Setup: NO_SETUP (Regime Gated)
⏸️ No Setup (Regime Gated)
No active setup is recommended right now.
Alerts:
– Pullback zone: $145.22-$139.61
– Breakout trigger: > $157.38
📊 Comprehensive Volume Analysis
Volume analysis provides institutional-level insights into supply and demand dynamics. This advanced analysis combines multiple volume indicators to identify accumulation, distribution, and potential divergences.
On-Balance Volume (OBV) – Cumulative Volume Pressure
📈 Current Trend: Up
10-Day Net Change: +6,170,503
Interpretation: Bullish – OBV rising over 10 days (+6,170,503)
OBV tracks cumulative buying and selling pressure. Rising OBV with price suggests healthy accumulation; falling OBV with rising price may indicate distribution (bearish divergence).
VWAP Multi-Timeframe Confluence
🟡 Confluence Signal: Mixed Signals
| Timeframe | Signal | Weight | Interpretation |
|---|---|---|---|
| 5-Day | Neutral | High | Immediate institutional positioning |
| 14-Day | Neutral | Medium | Swing accumulation/distribution |
| 30-Day | Neutral | Medium | Trend-level volume commitment |
VWAP (Volume-Weighted Average Price) represents the average price paid by institutions. Price above VWAP with accumulation suggests bullish control; below VWAP with distribution indicates bearish pressure.
Volume Activity Metrics
⬆️ Relative Volume: 2.12x
vs. 20-Day Average: +111.7%
Recent Volume Spikes: 0 in last 30 days
Quality Ratio: 1.01 (Neutral)
🚨 Volume-Price Divergence Analysis
Severity: Strong
Type: Bullish Confirmation (confidence +15%)
Signals:
– ✅ BULLISH CONFIRMATION: Price rising +62.8% with OBV climbing +19.3x avg volume – strong accumulation
– 🚨 MAJOR ACCUMULATION: OBV change is 19.3x average daily volume ($0.9B)
Divergences between price and volume can signal potential reversals or continuations. Monitor closely for confirmation.
💡 Volume Integration with Price Zones
Combining volume analysis with price-based zones enhances decision accuracy:
– Near Resistance + Distribution: High risk—institutions may be selling into strength
– Value Zone + Accumulation: Strong buy signal—institutions building positions
– Breakout + High Volume: Confirms new trend—likely to sustain
– Price Divergence + Volume Divergence: Critical warning—potential reversal imminent
Use volume to validate price zone recommendations and improve entry/exit timing.
📊 Moving Average Cluster Analysis
Current MA Positioning
| MA Period | Price | Distance | Slope | Direction | Support Quality |
|---|---|---|---|---|---|
| SMA10 | $113.93 | -26.0% | +18.87% | 📈 Rising | Strong |
| SMA20 | $100.72 | -34.6% | +14.20% | 📈 Rising | Strong |
| SMA50 | $86.81 | -43.6% | +5.87% | 📈 Rising | Strong |
| SMA200 | $78.83 | -48.8% | +2.26% | 📈 Rising | Strong |
🎯 Detected MA Clusters
No significant MA clusters detected. Moving averages are well-distributed, suggesting clear individual support/resistance levels rather than convergence zones.
🎚️ Prioritized Pullback Targets
1️⃣ Primary Target: $113.93 (26.0% pullback)
- MA Level: SMA10
- Probability: HIGH (Priority Score: 115)
- MA Characteristics: SMA10 support – rising strong
- Risk/Reward: Excellent support likely, minimal pullback distance
- What to Watch: Price action at this level, volume decrease on approach
2️⃣ Secondary Target: $100.72 (34.6% pullback)
- MA Level: SMA20
- Probability: HIGH (Priority Score: 105)
- MA Characteristics: SMA20 support – rising strong
- Risk/Reward: Excellent support likely, minimal pullback distance
- What to Watch: Major trend reversal signal if tested, significantly increased volume
3️⃣ Tertiary #1 Target: $86.81 (43.6% pullback)
- MA Level: SMA50
- Probability: MODERATE (Priority Score: 85)
- MA Characteristics: SMA50 support – rising strong
- Risk/Reward: Strong support likely, moderate pullback distance
- What to Watch: Major trend reversal signal if tested, significantly increased volume
4️⃣ Tertiary #2 Target: $78.83 (48.8% pullback)
- MA Level: SMA200
- Probability: LOW (Priority Score: 65)
- MA Characteristics: SMA200 support – rising strong
- Risk/Reward: High-confidence support if reached, but large pullback required
- What to Watch: Major trend reversal signal if tested, significantly increased volume
💡 MA Cluster Alignment (Governed by FINAL_ACTION)
FINAL_ACTION: NO_SETUP (Regime Gated)
Alignment: Neutral
Note: MA pullback targets are available but do not change the primary plan.
🔄 Peer Momentum Comparison (RFC-008)
Understanding relative performance vs. sector peers clarifies whether price movement is company-specific or sector-wide.
Peers Analyzed: 2 (LLM-discovered, programmatically validated)
Target vs. Sector Performance
| Metric | IPGP | Sector Avg | Relative | Status |
|---|---|---|---|---|
| 5-Day Change | +38.23% | -0.66% | +38.89pp | 📈 Outperforming |
| 10-Day Change | +62.78% | +1.60% | +61.18pp | 📈 Outperforming |
Peer Momentum Breakdown
| Ticker | 5-Day | 10-Day |
|---|---|---|
| AAOI | +0.36% | +1.95% |
| FN | -1.67% | +1.25% |
💡 Interpretation
✅ Company-specific strength: IPGP is outpacing peers, suggesting idiosyncratic positive factors beyond sector trends.
Discovery Method: LLM-driven peer identification with programmatic validation (sector match, market cap band 0.25x-4x).
The selected peers are all companies that operate in the same industry as IPG Photonics Corporation, providing similar products and services. They were chosen based on their business models, revenue mix, and factor exposures, which are similar to those of IPG Photonics Corporation.
💼 Investment Considerations
- 🏦 Long-Term Investors: Consider entry points near $139.61 (value zone) to $131.82 (deep value) with wide stops ($126.24) to manage downside. Current price at $153.91 is 1.2% below high. Monitor upcoming earnings or sector news for catalysts.
- ⚡ Short-Term Traders: Wait for a breakout above $157.38 or a confirmed bounce in the deep value zone. Track Semiconductors sector trends.
- 🌍 Market Context: The neutral market supports potential upside, but IPGP’s high relative volatility (88.0th percentile) suggests bigger swings—diversify and stay cautious.
🔬 Methodology
This analysis uses the Adaptive Peak Distance Analyzer, a proprietary tool that studies IPGP’s historical price movements to identify optimal trading zones. It calculates:
– 📊 Price Zones: Based on distances from 52-week highs where IPGP historically breaks out or reverses, using 1254 days of data (since ~2022).
– 📈 Volatility Adjustment: Compares IPGP’s 30-day volatility (43.9%) to SPY’s historical distribution, ranking at the 88.0th percentile, widening zones for safety.
– ⏰ Time Decay: Weights recent price reversals (~3.4 years) more heavily (average weight: 0.11) to reflect current behavior.
– 🌍 Market Regime: Adjusts zones based on SPY’s position (-0.8% vs. 50-day SMA), wider near-high zones.
– 📊 Volume Analysis: When available, integrates volume profile analysis including On-Balance Volume (OBV), Volume Weighted Average Price (VWAP), and volume-price divergence patterns to validate price movements and identify institutional accumulation/distribution.
– 📏 Metrics: Daily Volatility (σ) 2.77% typical 1-day move. Uses 14-Day ATR for volatility-adjusted stop-losses (RFC-011). Historical sweet spot entries averaged 0.5:1 reward-to-risk; current R/R from today’s price shown in Risk/Reward section below.
The analysis is robust (1254 samples, “High (Robust dataset)” quality) but focuses on price patterns and volume trends, not fundamental analysis. For broader context, check financial news or analyst reports.
🏢 About IPG Photonics Corporation
Sector: Technology | Industry: Semiconductors
IPG Photonics Corporation develops, manufactures, and sells various high-performance fiber lasers, fiber amplifiers, and diode lasers used in various applications primarily in materials processing worldwide. The company’s laser products include hybrid fiber-solid state lasers with green and ultraviolet wavelengths; fiber pigtailed packaged diodes and fiber coupled direct diode laser systems; high-energy pulsed lasers, multi-wavelength and tunable lasers, and single-polarization and single-freque…
📊 Understanding Expectancy
What is Expectancy (EV)? Expectancy represents your average profit per unit of risk (1R) across many similar trades.
Definition (per 1R):
– EV = p × R − (1 − p)
– p = win probability
– R = reward-to-risk multiple (e.g., R=2.0 means +2R on wins, −1R on losses)
Breakeven win rate:
– p = 1 / (1 + R) → for the BREAKOUT lane here, breakeven is 60%
Worked example with IPGP (BREAKOUT lane)
Assume 100 trades, risking $100 each (total risk = $10000):
– Expected win profit: p × N × $risk × R = $3300
– Expected losses: (1−p) × N × $risk = −$5000
– Expected net: EV × N × $risk = $-1700
– Expected per trade: EV × $risk = $-17
How to use this: The system recommends the lane with the highest EV because, statistically, it offers the best risk-adjusted edge (per 1R). Individual outcomes will vary.
⚠️ Disclaimer
This report is for informational purposes only and does not constitute financial advice. Investing in stocks like IPGP involves risks, including loss of principal. The analysis relies on historical price data and may not predict future performance. Always conduct your own research, consider your financial situation, and consult a licensed financial advisor before making investment decisions.
Report generated on February 17, 2026